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Tervela Teams Up with Cloudera to Speed Adoption of Hadoop in Mission-Critical ApplicationsACTON, Mass., Dec. 5, 2012 /PRNewswire via COMTEX/ -- Tervela, a provider of market-leading data movement solutions for data warehouses, big data environments, and globally distributed applications today announced that Tervela Turbo is now certified on CDH4 (Cloudera's Distribution Including Apache Hadoop Version 4). Tervela Turbo, a high-performance data movement engine, helps Cloudera customers implement mission-critical Hadoop systems with reliable data capture, high-speed data loading into HDFS, disaster recovery for Hadoop, and ETLT data warehousing. Tervela has also joined the Cloudera Connect Partner Program. (Logo: http://photos.prnewswire.com/prnh/20121022/SF97235LOGO) CDH is the world's most widely deployed distribution of Apache Hadoop in commercial and non-commercial environments. Today, more than half of the Fortune 50 run open source Apache Hadoop based on Cloudera. With tens of thousands of nodes in production, Cloudera has established itself as the category leader that is setting the standard for Apache Hadoop in the enterprise. CDH4 is a 100-percent open source distribution that combines Apache Hadoop with other open source applications within the Hadoop stack to deliver advanced, enterprise-grade features. "As more organizations leverage Big Data and powerful analytics for mission critical operations, it is increasingly important that they be able to do so with high reliability. Building a cluster from the ground up to run Apache Hadoop can be challenging, however the Cloudera Certified Technology program helps eliminate the risk of deployment and managing Hadoop clusters," said Tim Stevens, Vice President of Corporate and Business Development, Cloudera. "We're committed to helping enterprises achieve the most from their Big Data initiatives, and we're pleased that Tervela has completed certification of Tervela Turbo on CDH4." This certification ensures that CDH4 customers can rely on Tervela for: Reliable Data Capture: Tervela Turbo's no-loss data fabric technology captures data from virtually any source system and transports it to HDFS for loading, eliminating failures that stem from common file transfer and network errors. Parallel Loading of Synchronized Environments: Tervela Turbo multi-casts data to downstream Hadoop environments, letting customers load multiple clusters in parallel. This keeps them fully synchronized for disaster recovery and performance optimization purposes. ETLT Data Warehousing: Tervela Turbo makes it easy to implement Extract-Load-Transform-Load data warehousing. Turbo connects source systems to an intermediate Hadoop transformation engine, then capturing processed data from Hadoop and loading it back into a warehouse for final transformation and ultimately analysis. "We are excited to bring our Wall Street-proven big-data-in-motion technology to the Hadoop community with the certification of Tervela Turbo," said Barry Thompson, CTO of Tervela. "The combined power of Tervela Turbo with CDH4 will help enterprise customers get the maximum value out of Hadoop, especially for real-time business intelligence and operational analytics." The Cloudera Certified Technology program, which Tervela has joined, makes it simpler for Apache Hadoop technology buyers to purchase the right cluster components and software applications to extract the most value from their data. Cloudera Certified Technologies have been tested and validated to use supported APIs and to comply with Cloudera development guidelines for integration with Apache Hadoop. Tervela will be hosting a webcast entitled, Building High-Performance, Fault-Tolerant Applications on Hadoop on Tuesday, December 11, 2012 at 1PM EST. To register for the webcast, please visit https://www1.gotomeeting.com/register/668399296. About TervelaTervela's premiere big data in motion platform is built for the next generation of interconnected data warehouses, big data environments, and globally distributed applications. Tervela's data fabric products allow companies to capture, share, and distribute high volumes of data in real time for demanding applications such as global trading, telecommunications, cyber security, and new media. Founded in 2004, Tervela is deployed in leading Financial Services and Web companies, including IV Capital, Allston Trading, GBM, Goldman Sachs, ICAP, and Pollenware. For more information, please call +1 646.586.4220, visit www.tervela.com, or follow @Tervela on Twitter. About ClouderaCloudera, the standard for Apache Hadoop in the enterprise, empowers data-driven enterprises to Ask Bigger Questions(TM) and get bigger answers from all their data at the speed of thought. Cloudera Enterprise, the platform for Big Data, now with Cloudera Enterprise Real Time Queries powered by Impala, enables organizations to easily derive business value from structured and unstructured data to achieve a significant competitive advantage. Reinventing the economics and performance of Big Data management, Cloudera is the category leader in Apache Hadoop-based software, services and training. CDH (Cloudera's Distribution Including Apache Hadoop), available to download for free at www.cloudera.com/download, is the most comprehensive, tested, stable and widely deployed distribution of Hadoop in commercial and non-commercial environments. For the fastest path to reliably using this completely open source technology in production for Big Data analytics and answering previously un-addressable big questions, organizations can subscribe to Cloudera Enterprise, comprised of Cloudera Manager software and Cloudera Support. As the top contributor to the Apache open source community and with tens of thousands of nodes under management across customers in financial services, government, telecommunications, media, web, advertising, retail, energy, bioinformatics, pharma/healthcare, university research, oil and gas and gaming, Cloudera's depth of Big Data experience and expertise are unrivaled. www.cloudera.com Media Contact:Erin [email protected]+1 646-586-4220 SOURCE Tervela |